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. Applicants who are in the final phase of their master’s degree are also encouraged to apply but have to complete the master before starting the fellowship. You have a solid academic foundation in power systems
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experience with distributed control, cyber-physical systems, smart transformers, machine learning, power systems or systems engineering. You have solid skills in modelling and simulation using software tools
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of qubits Your competencies Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in physics, materials engineering, technical physics, or similar Solid physics
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, including provoking, probing and modulation of the dynamic neuroplastic properties of the pain system. We believe that this approach over time will foster new fundamental discoveries and change the state
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will be able to contribute empirical research on Denmark at the firm level, and/or at the aggregate level. Your research can use diverse methodologies depending on your strengths and interests. You will
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expected to have solid cooperative abilities as well as the ability to create and maintain productive relationships with researchers of various research and cultural backgrounds. A national as
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading architectural firm. The
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the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD
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background in cement chemistry, cement and concrete materials, materials science, or civil/structural engineering. The ideal candidate has solid hands-on experimental skills and enjoys laboratory-based